The Apache Software Foundation (ASF), the all-volunteer developers, stewards, and incubators of nearly 150 Open Source projects and initiatives, today announced Apache Cassandra v1.1. The highly-scalable, distributed database quickly and reliably handles massive data sets across community machines, large server clusters, and data centers without compromising performance –whether running in the Cloud or partially on-premise in a hybrid data store.
“Apache Cassandra is the leading scalable NoSQL database in terms of production installations –the 1.0 release was a huge milestone,” said Jonathan Ellis, Vice President of Apache Cassandra. “v1.1 improves on that foundation with many features and enhancements that developers and administrators have been asking for.”
Apache Cassandra is rapidly garnering accolades as a best of breed “NoSQL” solution for its ease of use, powerful data model, enterprise-grade reliability, tunable performance, and incremental scalability with no single point of failure. Super-efficient, Cassandra accommodates high query volumes at exceptional speed (sub-millisecond writes) with low latency, and handles petabytes of data across formats and applications in real time.
Apache Cassandra v1.1 features improved caching, revised query language (CQL –Cassandra Query Language– a subset of SQL), storage control, schema/structure, Hadoop integration/output, data directory control, and scalability.
Successfully handling thousands of requests per second, Apache Cassandra is deployed at Adobe, Appscale, Appssavvy, Backupify, Cisco, Clearspring, Cloudtalk, Constant Contact, Digg, Digital River, Expedia, Formspring, IBM, Mahalo.com, Morningstar, Netflix, Openwave, OpenX, Palantir, PBS, Plaxo, Rackspace, Reddit, RockYou, Shazam, SimpleGeo, Spotify, Twitter, Urban Airship, US Government, Walmart Labs, Yakaz, and more.
The largest Cassandra production cluster to date exceeds 300 terabytes of data over 400 machines.